Category: Amazon Aurora

Sign Up to Preview Performance Insights with Additional Database Engines AWS recently announced general availability of Amazon Aurora with PostgreSQL compatibility. With this release, AWS has also included the first release of a useful feature in Amazon Relational Database Service (Amazon RDS) called Performance Insights. Using a dashboard that visualizes database load—along with which SQL […]

Radik Chumaren, Engineering Leader at DataSunrise DataSunrise is a database security software company that offers a breadth of security solutions, including activity monitoring, data masking (dynamic and static masking), a database firewall, and sensitive data discovery for diversified databases. Our goal is to protect databases against external and internal threats and vulnerabilities. We often see […]

What’s the big deal about JSON support in MySQL 5.7? MySQL 5.6 supports numeric, date and time, string (character and byte) types, and spatial data types. Although this is a broad set of supported types, these primitive data types can limit your flexibility to evolve an application. If you use MySQL 5.6, you have two […]

David Rader is the vice president of engineering at OpenSCG. OpenSCG is an AWS Consulting Partner and a leading expert in PostgreSQL, helping customers migrate to, operate, and optimize PostgreSQL and other data platforms on premises and in the cloud. In previous posts, we looked at the overall approach for a successful database migration and […]

MySQL is a great open-source database engine, which a lot of companies use because it’s cost-effective. However, like any other open-source database, it takes a lot of work to get commercial-grade performance out of it. As the size of your database increases, the complexity of scaling and crash recovery in MySQL also increases. Scaling out […]

When designing high-performance database systems like Amazon Aurora, you typically want to work on things that deliver the most impact for the broadest set of workloads. But sometimes, it pays to focus on specialized use cases where you have the opportunity to change the game. In this post, let’s take a look at how Aurora […]

Increasingly, customers are looking to move databases from proprietary engines such as Oracle and Microsoft SQL Server to open source engines running on AWS. One of the preferred destinations for this data is Amazon Aurora. In this post, we walk through a migration of a Microsoft Azure SQL database to an Amazon Aurora MySQL cluster […]

Using AWS Database Migration Service (AWS DMS), you can migrate data from various sources to most widely used commercial and open-source databases. The service supports homogenous migrations such as Oracle to Oracle. It also supports heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora or Microsoft SQL Server to MySQL. In addition, […]

We first released AWS Quick Start for Magento, a very popular open-source content management system, in September 2015. Since its initial launch, the Quick Start has consistently been among the top 10 Quick Starts that are most popular with our customers. In October 2017, we released an update to the AWS Quick Start for Magento […]

Amazon Aurora offers a high-performance advanced auditing feature that logs detailed database activity to the database audit logs in Amazon CloudWatch. If you are using Aurora 1.10.1 or greater, you can use advanced auditing to meet regulatory or compliance requirements by capturing eligible events like tables queried, queries issued, and connections and disconnections. You can […]